期刊信息
Pattern Recognition Letters (PRL)
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影响因子: |
3.9 |
出版商: |
Elsevier |
ISSN: |
0167-8655 |
浏览: |
132671 |
关注: |
119 |
征稿
An official publication of the International Association for Pattern Recognition
Pattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition.
Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include:
• Statistical, structural, syntactic pattern recognition;
• Neural networks, machine learning, data mining;
• Discrete geometry, algebraic, graph-based techniques for pattern recognition;
• Signal analysis, image coding and processing, shape and texture analysis;
• Computer vision, robotics, remote sensing;
• Document processing, text and graphics recognition, digital libraries;
• Speech recognition, music analysis, multimedia systems;
• Natural language analysis, information retrieval;
• Biometrics, biomedical pattern analysis and information systems;
• Special hardware architectures, software packages for pattern recognition.
We invite contributions as research reports or commentaries.
Research reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications.
Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas.
Commentaries can be lecture notes, subject reviews, reports on a conference, or debates on critical issues that are of wide interests.
To serve the interests of a diverse readership, the introduction should provide a concise summary of the background of the work in an accepted terminology in pattern recognition, state the unique contributions, and discuss broader impacts of the work outside the immediate subject area. All contributions are reviewed on the basis of scientific merits and breadth of potential interests.
Pattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition.
Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include:
• Statistical, structural, syntactic pattern recognition;
• Neural networks, machine learning, data mining;
• Discrete geometry, algebraic, graph-based techniques for pattern recognition;
• Signal analysis, image coding and processing, shape and texture analysis;
• Computer vision, robotics, remote sensing;
• Document processing, text and graphics recognition, digital libraries;
• Speech recognition, music analysis, multimedia systems;
• Natural language analysis, information retrieval;
• Biometrics, biomedical pattern analysis and information systems;
• Special hardware architectures, software packages for pattern recognition.
We invite contributions as research reports or commentaries.
Research reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications.
Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas.
Commentaries can be lecture notes, subject reviews, reports on a conference, or debates on critical issues that are of wide interests.
To serve the interests of a diverse readership, the introduction should provide a concise summary of the background of the work in an accepted terminology in pattern recognition, state the unique contributions, and discuss broader impacts of the work outside the immediate subject area. All contributions are reviewed on the basis of scientific merits and breadth of potential interests.
最后更新 Dou Sun 在 2025-05-03
Special Issues
Special Issue on the 15th International Conference on Pattern Recognition Systems (ICRPS 2025)截稿日期: 2026-03-20ICPRS and its predecessors ICPRS-24, ICPRS-23, ICPRS-22, ICPRS-21, ICPRS-19, ICPRS-18, ICPRS-17, ICPRS-16, CWPR and CCPR, have traditionally been a meeting point of different disciplines (computer science, engineering, mathematics, machine learning, etc.) and an opportunity for a wide range of researchers and practitioners to discuss the many different aspects of the application of pattern recognition technologies.
Artificial Intelligence Techniques in Pattern Recognition, Bioinformatics Clustering, Biometrics (including face recognition), Computer Vision, Dataset: a new public dataset and baseline, Data Mining and Big Data, Deep Learning and Neural Networks for Pattern Recognition, Document Processing and Recognition, Fuzzy and Hybrid Techniques in PR, High Performance Computing for Pattern Recognition, Image Processing and Analysis, Kernel Machines, Mathematical Morphology, Mathematical Theory of Pattern Recognition, Medical Image Processing and Analysis, etc. (please see ICPRS 2025 for full list).
Guest editors:
Prof. Dr. Sergio S. Velastín
Universidad Carlos III de Madrid, Getafe, Spain
Dr. Romina Torres
Universidad Adolfo Ibáñez, Santiago, Chile
Dr. Sebastián Moreno
Universidad Adolfo Ibáñez, Santiago, Chile
Manuscript submission information:
Guest Editor Invitation Only
Open for Submission: from 01-Mar-2026 to 20-Mar-2026
Submission Site: Editorial Manager®
Article Type Name: "VSI: ICPRS 2025" - please select this item when you submit manuscripts online
All manuscripts will be peer-reviewed. Submissions will be evaluated based on originality, significance, technical quality, and clarity. Once accepted, articles will be posted online immediately and published in a journal regular issue within weeks. Articles will also be simultaneously collected in the online special issue.
For any inquiries about the appropriateness of contribution topics, welcome to contact Leading Guest Editor (Prof. Dr. Sergio S. Velastín).
Guide for Authors will be helpful for your future contributions, read more: Guide for authors - Pattern Recognition Letters - ISSN 0167-8655 | ScienceDirect.com by Elsevier
For more information about our Journal, please visit our ScienceDirect Page: Pattern Recognition Letters | Journal | ScienceDirect.com by Elsevier
Keywords:
Artificial Intelligence Techniques in Pattern Recognition
Bioinformatics Clustering
Biometrics
Computer Vision
Dataset
Data Mining and Big Data
Deep Learning
Neural Networks最后更新 Dou Sun 在 2025-12-02
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